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Paper Citation Record · LEDGER

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.01324.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.01324 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T16:16:36.410193Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d135a49a-5b09-46b3-b358-a66a4eb900aa · outbound

This paper cites Guest editorial xURLLC in 6G: Next generation ultra-reliable and low-latency communications,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Guest editorial xURLLC in 6G: Next generation ultra-reliable and low-latency communications,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:ab4b03e6603b895ce861b30491d31bb279539d0e9a61644d63274dd2f0537870

Observation 39d2a4f4-0125-4d8a-9e81-f085d354b42f · outbound

This paper cites A RAN Resource Slicing Mechanism for Multiplexing of eMBB and URLLC Services in OFDMA Based 5G Wireless Networks,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks A RAN Resource Slicing Mechanism for Multiplexing of eMBB and URLLC Services in OFDMA Based 5G Wireless Networks,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:ef489c8abc681f2ba4a0d1499e218c7fc4fdc7e70b193d9c2a30b0330e9edbde

Observation 5e872ac6-f654-4c46-b170-01e9861d3ae5 · outbound

This paper cites Empowering traffic steering in 6G Open RAN with deep reinforcement learning,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Empowering traffic steering in 6G Open RAN with deep reinforcement learning,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:66845c387eb3771f688b73f112cac19b5d90150a97d8fca8a2d6f65ab8efc4d0

Observation 48e8b4f7-24f9-478c-97f2-a6eed563e97d · outbound

This paper cites Digital twin for open RAN: Toward intelligent and resilient 6G radio access networks,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Digital twin for open RAN: Toward intelligent and resilient 6G radio access networks,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:9f73ce2bd8a13c4a3fb0399c92ce2b65ae94fea7d158d1b9f61a4da821e7493e

Observation d9285a24-badd-47ee-8565-bb9391990696 · outbound

This paper cites Network Energy Saving for 6G and Beyond: A Deep Reinforcement Learning Approach,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Network Energy Saving for 6G and Beyond: A Deep Reinforcement Learning Approach,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:c2fbdb6a3f058002bd3363bba8dd5d9e40bfe977e175a2ac53afc5dd59cce7a4

Observation cd7bd06a-7d40-4687-a9f2-304caaf312d6 · outbound

This paper cites RIS-Enabled UA V Swarm Optimization Framework for Energy Harvesting and Data Collection in Post-Disaster Recovery Management,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks RIS-Enabled UA V Swarm Optimization Framework for Energy Harvesting and Data Collection in Post-Disaster Recovery Management,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:bee71dd0b03ca44805106642eed3292c77a76903e8bd5c1981bf398214933265

Observation 825835c5-d5b8-4dde-9924-2d7aa2556087 · outbound

This paper cites Emerging technologies for 6G non-terrestrial-networks: From academia to industrial applications,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Emerging technologies for 6G non-terrestrial-networks: From academia to industrial applications,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:b78b68f000ccfd9e46b90d894c2ed35d5504f224c52a443a9e41f28e18ebd6fd

Observation 738814bc-51ce-45fe-be94-44ab7d88414d · outbound

This paper cites AoI-Aware Intelligent Platform for Energy and Rate Management in Multi-UA V Multi-RIS System,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks AoI-Aware Intelligent Platform for Energy and Rate Management in Multi-UA V Multi-RIS System,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:a54868d97770eea043f17843cedbf0578187e5688bb30d1f4b71b1a2bf53925e

Observation a6f6c8b7-4c06-4f46-b7fb-d4b9275d9131 · outbound

This paper cites Joint Optimization of 3D Placement and Radio Resource Allocation for Per-UA V Sum Rate Maximization,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Joint Optimization of 3D Placement and Radio Resource Allocation for Per-UA V Sum Rate Maximization,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:13f0e2a272c3e4007ce34ec741429b69815fe193b82b729eea8c6eb750a7de2c

Observation 3bba0465-bb70-4b58-a24c-5b78cf72c810 · outbound

This paper cites Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Energy Efficient Spectrum Sharing and Resource Allocation for 6G Air-Ground Integrated Networks,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:80046ddf03cabcef9004f13e4bd71463eedc2cfacb7a9005d41e9cabd106a5d7

Observation 47394440-ca82-463d-8bc1-aefc852c84c3 · outbound

This paper cites DRL- Based Joint Resource Allocation and Platoon Control Optimization for UA V-Hosted Platoon Digital Twin,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks DRL- Based Joint Resource Allocation and Platoon Control Optimization for UA V-Hosted Platoon Digital Twin,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:ca95aa01cd13c5d3a23a60b82f483f06db385ad904c8b31788ff62c2ccd96567

Observation d7c4a604-b4a6-455d-bcc5-ac7185babc86 · outbound

This paper cites UA V swarm cooperative search based on scalable multiagent deep reinforcement learning with digital twin-enabled Sim-to-real transfer,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks UA V swarm cooperative search based on scalable multiagent deep reinforcement learning with digital twin-enabled Sim-to-real transfer,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:9e61e1fcf6263403b04200e364f9c17b6bc023e4bf8413b7fdea2f49a623d392

Observation 4b113e74-b54e-45d6-8ef9-0d84b48ee039 · outbound

This paper cites Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UA V Swarms,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UA V Swarms,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:f4bcedc24ec265de38da4b9a38096786b1e10b13d01ec3d5f1e9cb09ff0e356f

Observation a3a8557e-7a37-4398-ba02-97a66088a899 · outbound

This paper cites Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:46:16.393413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:6c2d248c09392a6e588541eb5f7fd5a08df00224c44fe467378f02241a1d6853

Observation 7317701f-8345-4b3c-b082-3973c4e0fe84 · outbound

This paper cites Offline and online uav-enabled data collection in time-constrained iot networks,.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Offline and online uav-enabled data collection in time-constrained iot networks,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T16:16:36.410193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:1dbce2341730561d2ff4c3add992383efdd18b738f0f2e74e25d69fda0674ff1

Pith citing papers

No inbound Pith citation observations are available.